Semi-parametric mixtures of partially linear models

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News as a commodity vs. news as a public good : adaptation strategies of South African Newspapers in the Digital Era

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Enhancement of digital elevation models using tree-based ensemble machine learning algorithms by Okolie, Chukwuma

“…The target variable (elevation error) was derived with respect to highly accurate airborne LiDAR. …”
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Investigating quality of data and the need for the restructuring of accident report form in South Africa by Okeowo, Oluwatimilehin Oluwaseun

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Teaching medication administration to nursing students – a scoping review with a decolonial lens by Haroun, Fadilah

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Deep learning approaches for fingerprint localization in low-power wide area networks

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Three-Dimensional Body Volume Measurement From Two-Dimensional Images: Towards A Smartphone Application by Majola, Khwezi

“…There are a few sources that contribute towards the reconstruction errors. Possible sources of error include an inability to interpret pose and landmark position errors. …”
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Co-creating a work-based interprofessional education programme for collaborative practice in maternity services in Botswana

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Characterizing variable renewable energy generation uncertainty towards improved forecasting and operational decision making by Mararakanye, Ndamulelo

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Evaluation of the diagnostic and management accuracy of closed fractures of forearm and wrist using validated vignettes as a reference standard by emergency centre clinicians in th... by Goncalves, Melisanda

“…Clear and good notes in the patient folder, top-quality X-ray images, good EC work environment, and improvement between doctors communication are other sets of requirements important to help to avoid errors in fracture management.…”
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Characteristics of near surface circulation patterns in the Benguela as derived from the ADCP(Acoustic Doppler Current Profiler). by Iita, Aina T

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Adaptive digital image correlation using neural networks by Atkinson, Devan James

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Monocular vision-based displacement sensing for shunting truck guidance by Schreiber, Leon Amos

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Exploring the relationship between multimodal magnetic resonance neuroimaging and cognitive outcomes in children: applying machine learning algorithms to brain MRI features to pred... by Khobo, Isaac

“…PLMs, SVMs/SVR, and DTEs performed poorly for the regression problem; the predic-tive models led to small training and fitting errors but high generalised CV errors. …”
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Non-line-of-sight identification and mitigation for indoor localization using ultra-wideband sensor networks

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Impeller fault detection under fluctuating flow conditions using artificial neural networks

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Bone age estimation using machine learning approach: An assessment using hand and wrist bones of South African children by Nam, Yuseung

“…Although these methods have been updated throughout the decades, they rely on experienced radiologists' manual power, which is highly time-consuming, resulting in intra- and inter-observer errors. Our study uses a machine learning method to train and automatically predict bone age with carpal bones from a sample of South African children to mitigate these problems. …”
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Protection-based Distributed Generation Penetration Limits on MV feeders - Using Machine Learning by Nxumalo, Emmanuel

“…A high variance problem was observed (cross-validation error was high and training error was low) for the models that used all the network protection features as inputs. …”
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